* The List of All Active Datasets in this ERDDAP *

This dataset is a table which has a row of information for each dataset currently active in this ERDDAP.

cdm_data_type = Other
VARIABLES:
datasetID (Dataset ID)
accessible
institution
dataStructure (Data Structure)
cdm_data_type (Common Data Model Type)
class (ERDDAP Class)
title
minLongitude (Minimum Longitude, degrees_east)
maxLongitude (Maximum Longitude, degrees_east)
longitudeSpacing (Average Grid Longitude Spacing, degrees_east)
minLatitude (Minimum Latitude, degrees_north)
maxLatitude (Maximum Latitude, degrees_north)
latitudeSpacing (Average Grid Latitude Spacing, degrees_north)
minAltitude (Minimum Altitude or -Depth, m)
maxAltitude (Maximum Altitude or -Depth, m)
minTime (Minimum Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Maximum Time, seconds since 1970-01-01T00:00:00Z)
timeSpacing (Average Grid Time Spacing, seconds)
griddap (Base URL of OPeNDAP Grid Service)
subset (URL of Subset Web Page)
tabledap (Base URL of OPeNDAP Table/Sequence Service)
MakeAGraph (URL of Make-A-Graph Web Page)
sos (Base URL of SOS Service)
wcs (Base URL of WCS Service)
wms (Base URL of WMS Service)
files (Base URL of /files/ Service)
... (8 more variables)


Argo Products annual mean annual Isopycnals

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
dep (depth on isopycnal, m)
sdep (standard depth deviation, m)
ndep (number of depth profiles)
salt (salinity on isopycnal, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature on isopycnal, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
sigdz (dsigma/dz on isopycnal (kg/m4))
ssigdz (standard dsigma/dz deviation (kg/m4))
nsigdz (number of dsigma/dz profiles)
spice (spiciness on isopycnal)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) montgomery potential on isopycnal (dyn m))
saddep (standard montgomery potential deviation (dyn m))
naddep (number of montgomery potential profiles)


Argo Products annual mean annual mean velocity

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
usf (surface zonal velocity (cm/s))
susf (standard surface zonal velocity deviation (cm/s))
nusf (number of surface zonal velocity profiles)
vsf (surface meridional velocity (cm/s))
svsf (standard surface meridional velocity deviation (cm/s))
nvsf (number of surface meridional velocity profiles)
uvsf (surface velocity magnitude (cm/s))
suvsf (standard surface velocity magnitude deviation (cm/s))
nuvsf (number of surface velocity magnitude profiles)
udp (deep zonal velocity (cm/s))
sudp (standard deep zonal velocity deviation (cm/s))
nudp (number of deep zonal velocity profiles)
vdp (deep meridional velocity (cm/s))
svdp (standard deep meridional velocity deviation (cm/s))
nvdp (number of deep meridional velocity profiles)
uvdp (deep velocity magnitude (cm/s))
suvdp (standard deep velocity magnitude deviation (cm/s))
nuvdp (number of deep velocity magnitude profiles)


Argo Products annual mean annual mixed layer

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (mixed layer depth, m)
smld (standard mixed layer depth deviation, m)
nmld (number of mixed layer depth profiles)
ild (isothermal layer depth, m)
sild (standard isothermal layer depth deviation, m)
nild (number of isothermal layer depth profiles)
ttd (top of the thermocline depth, m)
sttd (standard top of the thermocline depth deviation, m)
nttd (number of top of the thermocline depth profiles)
blt ((>0) barrier or (<0) compensated layer thickness (ttd - mld), m)
sblt (standard barrier or compensated layer thickness deviation, m)
nblt (number of barrier or compensated layer-2 thickness profiles)
tid (temperature inversion depth, m)
stid (standard temperature inversion depth deviation, m)
ntid (number of temperature inversion depth profiles)
mlt (mixed layer temperature, degree_C)
smlt (standard mixed layer temperature deviation, degree_C)
nmlt (number of mixed layer temperature profiles)
mls (mixed layer salinity, PSU)
smls (standard mixed layer salinity deviation, PSU)
nmls (number of mixed layer salinity profiles)


Argo Products annual mean annual standard level

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (temperature, degree_C)
stemp (standard temperature deviation, degree_C)
ntemp (number of temperature profiles)
salt (salinity, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
pden (potential density (kg/m3))
spden (standard potential density deviation (kg/m3))
npden (number of potential density profiles)
spice (spiciness)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
saddep (standard absolute dynamic depth deviation (dyn m))
naddep (number of absolute dynamic depth profiles)


Argo Products annual mean Gridded annual mean

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (argo temperature, degree_C)
salt (argo salinity, PSU)
ptemp (argo potential temperature, degree_C)
pden (argo potential density (kg/m3))
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
spice (argo spiciness)


Argo Products annual mean Mixed Layer Gridded annual mean

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (argo mixed layer depth, m)
ild (argo isothermal layer depth, m)
ttd (argo top of the thermocline depth, m)
blt (argo barrier (>0) or compensated (<0) layer thickness (ttd - mld), m)
tid (argo temperature inversion depth, m)
mlt (argo mixed layer temperature, degree_C)
mls (argo mixed layer salinity, PSU)


Argo Products clima 1x1 monthly isopycnals clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
dep (depth on isopycnal, m)
sdep (standard depth deviation, m)
ndep (number of depth profiles)
salt (salinity on isopycnal, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature on isopycnal, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
sigdz (dsigma/dz on isopycnal (kg/m4))
ssigdz (standard dsigma/dz deviation (kg/m4))
nsigdz (number of dsigma/dz profiles)
spice (spiciness on isopycnal)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) montgomery potential on isopycnal (dyn m))
saddep (standard montgomery potential deviation (dyn m))
naddep (number of montgomery potential profiles)


Argo Products clima 1x1 monthly mixed layer clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (mixed layer depth, m)
smld (standard mixed layer depth deviation, m)
nmld (number of mixed layer depth profiles)
ild (isothermal layer depth, m)
sild (standard isothermal layer depth deviation, m)
nild (number of isothermal layer depth profiles)
ttd (top of the thermocline depth, m)
sttd (standard top of the thermocline depth deviation, m)
nttd (number of top of the thermocline depth profiles)
blt ((>0) barrier or (<0) compensated layer thickness (ttd - mld), m)
sblt (standard barrier or compensated layer thickness deviation, m)
nblt (number of barrier or compensated layer-2 thickness profiles)
tid (temperature inversion depth, m)
stid (standard temperature inversion depth deviation, m)
ntid (number of temperature inversion depth profiles)
mlt (mixed layer temperature, degree_C)
smlt (standard mixed layer temperature deviation, degree_C)
nmlt (number of mixed layer temperature profiles)
mls (mixed layer salinity, PSU)
smls (standard mixed layer salinity deviation, PSU)
nmls (number of mixed layer salinity profiles)


Argo Products clima 1x1 monthly standard level clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (temperature, degree_C)
stemp (standard temperature deviation, degree_C)
ntemp (number of temperature profiles)
salt (salinity, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
pden (potential density (kg/m3))
spden (standard potential density deviation (kg/m3))
npden (number of potential density profiles)
spice (spiciness)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
saddep (standard absolute dynamic depth deviation (dyn m))
naddep (number of absolute dynamic depth profiles)


Argo Products clima 1x1 monthly velocity clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
usf (surface zonal velocity (cm/s))
susf (standard surface zonal velocity deviation (cm/s))
nusf (number of surface zonal velocity profiles)
vsf (surface meridional velocity (cm/s))
svsf (standard surface meridional velocity deviation (cm/s))
nvsf (number of surface meridional velocity profiles)
uvsf (surface velocity magnitude (cm/s))
suvsf (standard surface velocity magnitude deviation (cm/s))
nuvsf (number of surface velocity magnitude profiles)
udp (deep zonal velocity (cm/s))
sudp (standard deep zonal velocity deviation (cm/s))
nudp (number of deep zonal velocity profiles)
vdp (deep meridional velocity (cm/s))
svdp (standard deep meridional velocity deviation (cm/s))
nvdp (number of deep meridional velocity profiles)
uvdp (deep velocity magnitude (cm/s))
suvdp (standard deep velocity magnitude deviation (cm/s))
nuvdp (number of deep velocity magnitude profiles)


Argo Products clima 3x3 monthly isopycnals clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
dep (depth on isopycnal, m)
sdep (standard depth deviation, m)
ndep (number of depth profiles)
salt (salinity on isopycnal, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature on isopycnal, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
sigdz (dsigma/dz on isopycnal (kg/m4))
ssigdz (standard dsigma/dz deviation (kg/m4))
nsigdz (number of dsigma/dz profiles)
spice (spiciness on isopycnal)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) montgomery potential on isopycnal (dyn m))
saddep (standard montgomery potential deviation (dyn m))
naddep (number of montgomery potential profiles)


Argo Products clima 3x3 monthly mixed layer clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (mixed layer depth, m)
smld (standard mixed layer depth deviation, m)
nmld (number of mixed layer depth profiles)
ild (isothermal layer depth, m)
sild (standard isothermal layer depth deviation, m)
nild (number of isothermal layer depth profiles)
ttd (top of the thermocline depth, m)
sttd (standard top of the thermocline depth deviation, m)
nttd (number of top of the thermocline depth profiles)
blt ((>0) barrier or (<0) compensated layer thickness (ttd - mld), m)
sblt (standard barrier or compensated layer thickness deviation, m)
nblt (number of barrier or compensated layer-2 thickness profiles)
tid (temperature inversion depth, m)
stid (standard temperature inversion depth deviation, m)
ntid (number of temperature inversion depth profiles)
mlt (mixed layer temperature, degree_C)
smlt (standard mixed layer temperature deviation, degree_C)
nmlt (number of mixed layer temperature profiles)
mls (mixed layer salinity, PSU)
smls (standard mixed layer salinity deviation, PSU)
nmls (number of mixed layer salinity profiles)


Argo Products clima 3x3 monthly standard level clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (temperature, degree_C)
stemp (standard temperature deviation, degree_C)
ntemp (number of temperature profiles)
salt (salinity, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
pden (potential density (kg/m3))
spden (standard potential density deviation (kg/m3))
npden (number of potential density profiles)
spice (spiciness)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
saddep (standard absolute dynamic depth deviation (dyn m))
naddep (number of absolute dynamic depth profiles)


Argo Products clima 3x3 monthly velocity clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
usf (surface zonal velocity (cm/s))
susf (standard surface zonal velocity deviation (cm/s))
nusf (number of surface zonal velocity profiles)
vsf (surface meridional velocity (cm/s))
svsf (standard surface meridional velocity deviation (cm/s))
nvsf (number of surface meridional velocity profiles)
uvsf (surface velocity magnitude (cm/s))
suvsf (standard surface velocity magnitude deviation (cm/s))
nuvsf (number of surface velocity magnitude profiles)
udp (deep zonal velocity (cm/s))
sudp (standard deep zonal velocity deviation (cm/s))
nudp (number of deep zonal velocity profiles)
vdp (deep meridional velocity (cm/s))
svdp (standard deep meridional velocity deviation (cm/s))
nvdp (number of deep meridional velocity profiles)
uvdp (deep velocity magnitude (cm/s))
suvdp (standard deep velocity magnitude deviation (cm/s))
nuvdp (number of deep velocity magnitude profiles)


Argo Products clima 3x3 seasonal isopycnals clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
dep (depth on isopycnal, m)
sdep (standard depth deviation, m)
ndep (number of depth profiles)
salt (salinity on isopycnal, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature on isopycnal, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
sigdz (dsigma/dz on isopycnal (kg/m4))
ssigdz (standard dsigma/dz deviation (kg/m4))
nsigdz (number of dsigma/dz profiles)
spice (spiciness on isopycnal)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) montgomery potential on isopycnal (dyn m))
saddep (standard montgomery potential deviation (dyn m))
naddep (number of montgomery potential profiles)


Argo Products clima 3x3 seasonal mixed layer clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (mixed layer depth, m)
smld (standard mixed layer depth deviation, m)
nmld (number of mixed layer depth profiles)
ild (isothermal layer depth, m)
sild (standard isothermal layer depth deviation, m)
nild (number of isothermal layer depth profiles)
ttd (top of the thermocline depth, m)
sttd (standard top of the thermocline depth deviation, m)
nttd (number of top of the thermocline depth profiles)
blt ((>0) barrier or (<0) compensated layer thickness (ttd - mld), m)
sblt (standard barrier or compensated layer thickness deviation, m)
nblt (number of barrier or compensated layer-2 thickness profiles)
tid (temperature inversion depth, m)
stid (standard temperature inversion depth deviation, m)
ntid (number of temperature inversion depth profiles)
mlt (mixed layer temperature, degree_C)
smlt (standard mixed layer temperature deviation, degree_C)
nmlt (number of mixed layer temperature profiles)
mls (mixed layer salinity, PSU)
smls (standard mixed layer salinity deviation, PSU)
nmls (number of mixed layer salinity profiles)


Argo Products clima 3x3 seasonal standard level clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (temperature, degree_C)
stemp (standard temperature deviation, degree_C)
ntemp (number of temperature profiles)
salt (salinity, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
pden (potential density (kg/m3))
spden (standard potential density deviation (kg/m3))
npden (number of potential density profiles)
spice (spiciness)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
saddep (standard absolute dynamic depth deviation (dyn m))
naddep (number of absolute dynamic depth profiles)


Argo Products clima 3x3 seasonal velocity clima

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
usf (surface zonal velocity (cm/s))
susf (standard surface zonal velocity deviation (cm/s))
nusf (number of surface zonal velocity profiles)
vsf (surface meridional velocity (cm/s))
svsf (standard surface meridional velocity deviation (cm/s))
nvsf (number of surface meridional velocity profiles)
uvsf (surface velocity magnitude (cm/s))
suvsf (standard surface velocity magnitude deviation (cm/s))
nuvsf (number of surface velocity magnitude profiles)
udp (deep zonal velocity (cm/s))
sudp (standard deep zonal velocity deviation (cm/s))
nudp (number of deep zonal velocity profiles)
vdp (deep meridional velocity (cm/s))
svdp (standard deep meridional velocity deviation (cm/s))
nvdp (number of deep meridional velocity profiles)
uvdp (deep velocity magnitude (cm/s))
suvdp (standard deep velocity magnitude deviation (cm/s))
nuvdp (number of deep velocity magnitude profiles)


Argo Products clima Gridded climatology

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (argo temperature, degree_C)
salt (argo salinity, PSU)
ptemp (argo potential temperature, degree_C)
pden (argo potential density (kg/m3))
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
spice (argo spiciness)


Argo Products clima Gridded seasonal climatology

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (argo temperature, degree_C)
salt (argo salinity, PSU)
ptemp (argo potential temperature, degree_C)
pden (argo potential density (kg/m3))
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
spice (argo spiciness)


Argo Products clima Mixed Layer Gridded climatology

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (argo mixed layer depth, m)
ild (argo isothermal layer depth, m)
ttd (argo top of the thermocline depth, m)
blt (argo barrier (>0) or compensated (<0) layer thickness (ttd - mld), m)
tid (argo temperature inversion depth, m)
mlt (argo mixed layer temperature, degree_C)
mls (argo mixed layer salinity, PSU)


Argo Products clima Mixed Layer Gridded seasonal climatology

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (argo mixed layer depth, m)
ild (argo isothermal layer depth, m)
ttd (argo top of the thermocline depth, m)
blt (argo barrier (>0) or compensated (<0) layer thickness (ttd - mld), m)
tid (argo temperature inversion depth, m)
mlt (argo mixed layer temperature, degree_C)
mls (argo mixed layer salinity, PSU)


Argo Products ensemble mean ensemble Isopycnals

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
dep (depth on isopycnal, m)
sdep (standard depth deviation, m)
ndep (number of depth profiles)
salt (salinity on isopycnal, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature on isopycnal, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
sigdz (dsigma/dz on isopycnal (kg/m4))
ssigdz (standard dsigma/dz deviation (kg/m4))
nsigdz (number of dsigma/dz profiles)
spice (spiciness on isopycnal)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) montgomery potential on isopycnal (dyn m))
saddep (standard montgomery potential deviation (dyn m))
naddep (number of montgomery potential profiles)


Argo Products ensemble mean ensemble mean velocity

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
usf (surface zonal velocity (cm/s))
susf (standard surface zonal velocity deviation (cm/s))
nusf (number of surface zonal velocity profiles)
vsf (surface meridional velocity (cm/s))
svsf (standard surface meridional velocity deviation (cm/s))
nvsf (number of surface meridional velocity profiles)
uvsf (surface velocity magnitude (cm/s))
suvsf (standard surface velocity magnitude deviation (cm/s))
nuvsf (number of surface velocity magnitude profiles)
udp (deep zonal velocity (cm/s))
sudp (standard deep zonal velocity deviation (cm/s))
nudp (number of deep zonal velocity profiles)
vdp (deep meridional velocity (cm/s))
svdp (standard deep meridional velocity deviation (cm/s))
nvdp (number of deep meridional velocity profiles)
uvdp (deep velocity magnitude (cm/s))
suvdp (standard deep velocity magnitude deviation (cm/s))
nuvdp (number of deep velocity magnitude profiles)


Argo Products ensemble mean ensemble mixed layer

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (mixed layer depth, m)
smld (standard mixed layer depth deviation, m)
nmld (number of mixed layer depth profiles)
ild (isothermal layer depth, m)
sild (standard isothermal layer depth deviation, m)
nild (number of isothermal layer depth profiles)
ttd (top of the thermocline depth, m)
sttd (standard top of the thermocline depth deviation, m)
nttd (number of top of the thermocline depth profiles)
blt ((>0) barrier or (<0) compensated layer thickness (ttd - mld), m)
sblt (standard barrier or compensated layer thickness deviation, m)
nblt (number of barrier or compensated layer-2 thickness profiles)
tid (temperature inversion depth, m)
stid (standard temperature inversion depth deviation, m)
ntid (number of temperature inversion depth profiles)
mlt (mixed layer temperature, degree_C)
smlt (standard mixed layer temperature deviation, degree_C)
nmlt (number of mixed layer temperature profiles)
mls (mixed layer salinity, PSU)
smls (standard mixed layer salinity deviation, PSU)
nmls (number of mixed layer salinity profiles)


Argo Products ensemble mean ensemble standard level

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (temperature, degree_C)
stemp (standard temperature deviation, degree_C)
ntemp (number of temperature profiles)
salt (salinity, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
pden (potential density (kg/m3))
spden (standard potential density deviation (kg/m3))
npden (number of potential density profiles)
spice (spiciness)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
saddep (standard absolute dynamic depth deviation (dyn m))
naddep (number of absolute dynamic depth profiles)


Argo Products ensemble mean Gridded ensemble mean

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (argo temperature, degree_C)
salt (argo salinity, PSU)
ptemp (argo potential temperature, degree_C)
pden (argo potential density (kg/m3))
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
spice (argo spiciness)


Argo Products ensemble mean Mixed Layer Gridded ensemble mean

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (argo mixed layer depth, m)
ild (argo isothermal layer depth, m)
ttd (argo top of the thermocline depth, m)
blt (argo barrier (>0) or compensated (<0) layer thickness (ttd - mld), m)
tid (argo temperature inversion depth, m)
mlt (argo mixed layer temperature, degree_C)
mls (argo mixed layer salinity, PSU)


Argo Products monthly mean Gridded monthly mean

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (argo temperature, degree_C)
salt (argo salinity, PSU)
ptemp (argo potential temperature, degree_C)
pden (argo potential density (kg/m3))
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
spice (argo spiciness)


Argo Products monthly mean Mixed Layer Gridded monthly mean

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (argo mixed layer depth, m)
ild (argo isothermal layer depth, m)
ttd (argo top of the thermocline depth, m)
blt (argo barrier (>0) or compensated (<0) layer thickness (ttd - mld), m)
tid (argo temperature inversion depth, m)
mlt (argo mixed layer temperature, degree_C)
mls (argo mixed layer salinity, PSU)


Argo Products monthly mean monthly Isopycnals

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
dep (depth on isopycnal, m)
sdep (standard depth deviation, m)
ndep (number of depth profiles)
salt (salinity on isopycnal, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature on isopycnal, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
sigdz (dsigma/dz on isopycnal (kg/m4))
ssigdz (standard dsigma/dz deviation (kg/m4))
nsigdz (number of dsigma/dz profiles)
spice (spiciness on isopycnal)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) montgomery potential on isopycnal (dyn m))
saddep (standard montgomery potential deviation (dyn m))
naddep (number of montgomery potential profiles)


Argo Products monthly mean monthly mean velocity

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
usf (surface zonal velocity (cm/s))
susf (standard surface zonal velocity deviation (cm/s))
nusf (number of surface zonal velocity profiles)
vsf (surface meridional velocity (cm/s))
svsf (standard surface meridional velocity deviation (cm/s))
nvsf (number of surface meridional velocity profiles)
uvsf (surface velocity magnitude (cm/s))
suvsf (standard surface velocity magnitude deviation (cm/s))
nuvsf (number of surface velocity magnitude profiles)
udp (deep zonal velocity (cm/s))
sudp (standard deep zonal velocity deviation (cm/s))
nudp (number of deep zonal velocity profiles)
vdp (deep meridional velocity (cm/s))
svdp (standard deep meridional velocity deviation (cm/s))
nvdp (number of deep meridional velocity profiles)
uvdp (deep velocity magnitude (cm/s))
suvdp (standard deep velocity magnitude deviation (cm/s))
nuvdp (number of deep velocity magnitude profiles)


Argo Products monthly mean monthly mixed layer

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (mixed layer depth, m)
smld (standard mixed layer depth deviation, m)
nmld (number of mixed layer depth profiles)
ild (isothermal layer depth, m)
sild (standard isothermal layer depth deviation, m)
nild (number of isothermal layer depth profiles)
ttd (top of the thermocline depth, m)
sttd (standard top of the thermocline depth deviation, m)
nttd (number of top of the thermocline depth profiles)
blt ((>0) barrier or (<0) compensated layer thickness (ttd - mld), m)
sblt (standard barrier or compensated layer thickness deviation, m)
nblt (number of barrier or compensated layer-2 thickness profiles)
tid (temperature inversion depth, m)
stid (standard temperature inversion depth deviation, m)
ntid (number of temperature inversion depth profiles)
mlt (mixed layer temperature, degree_C)
smlt (standard mixed layer temperature deviation, degree_C)
nmlt (number of mixed layer temperature profiles)
mls (mixed layer salinity, PSU)
smls (standard mixed layer salinity deviation, PSU)
nmls (number of mixed layer salinity profiles)


Argo Products monthly mean monthly standard level

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (temperature, degree_C)
stemp (standard temperature deviation, degree_C)
ntemp (number of temperature profiles)
salt (salinity, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
pden (potential density (kg/m3))
spden (standard potential density deviation (kg/m3))
npden (number of potential density profiles)
spice (spiciness)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
saddep (standard absolute dynamic depth deviation (dyn m))
naddep (number of absolute dynamic depth profiles)


Argo Products seasonal mean Gridded seasonal AMJ

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (argo temperature, degree_C)
salt (argo salinity, PSU)
ptemp (argo potential temperature, degree_C)
pden (argo potential density (kg/m3))
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
spice (argo spiciness)


Argo Products seasonal mean Gridded seasonal JAS

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (argo temperature, degree_C)
salt (argo salinity, PSU)
ptemp (argo potential temperature, degree_C)
pden (argo potential density (kg/m3))
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
spice (argo spiciness)


Argo Products seasonal mean Gridded seasonal JFM

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (argo temperature, degree_C)
salt (argo salinity, PSU)
ptemp (argo potential temperature, degree_C)
pden (argo potential density (kg/m3))
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
spice (argo spiciness)


Argo Products seasonal mean Gridded seasonal OND

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (argo temperature, degree_C)
salt (argo salinity, PSU)
ptemp (argo potential temperature, degree_C)
pden (argo potential density (kg/m3))
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
spice (argo spiciness)


Argo Products seasonal mean Mixed Layer Gridded seasonal AMJ

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (argo mixed layer depth, m)
ild (argo isothermal layer depth, m)
ttd (argo top of the thermocline depth, m)
blt (argo barrier (>0) or compensated (<0) layer thickness (ttd - mld), m)
tid (argo temperature inversion depth, m)
mlt (argo mixed layer temperature, degree_C)
mls (argo mixed layer salinity, PSU)


Argo Products seasonal mean Mixed Layer Gridded seasonal JAS

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (argo mixed layer depth, m)
ild (argo isothermal layer depth, m)
ttd (argo top of the thermocline depth, m)
blt (argo barrier (>0) or compensated (<0) layer thickness (ttd - mld), m)
tid (argo temperature inversion depth, m)
mlt (argo mixed layer temperature, degree_C)
mls (argo mixed layer salinity, PSU)


Argo Products seasonal mean Mixed Layer Gridded seasonal JFM

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (argo mixed layer depth, m)
ild (argo isothermal layer depth, m)
ttd (argo top of the thermocline depth, m)
blt (argo barrier (>0) or compensated (<0) layer thickness (ttd - mld), m)
tid (argo temperature inversion depth, m)
mlt (argo mixed layer temperature, degree_C)
mls (argo mixed layer salinity, PSU)


Argo Products seasonal mean Mixed Layer Gridded seasonal OND

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (argo mixed layer depth, m)
ild (argo isothermal layer depth, m)
ttd (argo top of the thermocline depth, m)
blt (argo barrier (>0) or compensated (<0) layer thickness (ttd - mld), m)
tid (argo temperature inversion depth, m)
mlt (argo mixed layer temperature, degree_C)
mls (argo mixed layer salinity, PSU)


Argo Products seasonal mean seasonal Isopycnals AMJ

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
dep (depth on isopycnal, m)
sdep (standard depth deviation, m)
ndep (number of depth profiles)
salt (salinity on isopycnal, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature on isopycnal, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
sigdz (dsigma/dz on isopycnal (kg/m4))
ssigdz (standard dsigma/dz deviation (kg/m4))
nsigdz (number of dsigma/dz profiles)
spice (spiciness on isopycnal)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) montgomery potential on isopycnal (dyn m))
saddep (standard montgomery potential deviation (dyn m))
naddep (number of montgomery potential profiles)


Argo Products seasonal mean seasonal Isopycnals JAS

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
dep (depth on isopycnal, m)
sdep (standard depth deviation, m)
ndep (number of depth profiles)
salt (salinity on isopycnal, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature on isopycnal, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
sigdz (dsigma/dz on isopycnal (kg/m4))
ssigdz (standard dsigma/dz deviation (kg/m4))
nsigdz (number of dsigma/dz profiles)
spice (spiciness on isopycnal)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) montgomery potential on isopycnal (dyn m))
saddep (standard montgomery potential deviation (dyn m))
naddep (number of montgomery potential profiles)


Argo Products seasonal mean seasonal Isopycnals JFM

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
dep (depth on isopycnal, m)
sdep (standard depth deviation, m)
ndep (number of depth profiles)
salt (salinity on isopycnal, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature on isopycnal, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
sigdz (dsigma/dz on isopycnal (kg/m4))
ssigdz (standard dsigma/dz deviation (kg/m4))
nsigdz (number of dsigma/dz profiles)
spice (spiciness on isopycnal)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) montgomery potential on isopycnal (dyn m))
saddep (standard montgomery potential deviation (dyn m))
naddep (number of montgomery potential profiles)


Argo Products seasonal mean seasonal Isopycnals OND

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
dep (depth on isopycnal, m)
sdep (standard depth deviation, m)
ndep (number of depth profiles)
salt (salinity on isopycnal, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature on isopycnal, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
sigdz (dsigma/dz on isopycnal (kg/m4))
ssigdz (standard dsigma/dz deviation (kg/m4))
nsigdz (number of dsigma/dz profiles)
spice (spiciness on isopycnal)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) montgomery potential on isopycnal (dyn m))
saddep (standard montgomery potential deviation (dyn m))
naddep (number of montgomery potential profiles)


Argo Products seasonal mean seasonal mean velocity AMJ

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
usf (surface zonal velocity (cm/s))
susf (standard surface zonal velocity deviation (cm/s))
nusf (number of surface zonal velocity profiles)
vsf (surface meridional velocity (cm/s))
svsf (standard surface meridional velocity deviation (cm/s))
nvsf (number of surface meridional velocity profiles)
uvsf (surface velocity magnitude (cm/s))
suvsf (standard surface velocity magnitude deviation (cm/s))
nuvsf (number of surface velocity magnitude profiles)
udp (deep zonal velocity (cm/s))
sudp (standard deep zonal velocity deviation (cm/s))
nudp (number of deep zonal velocity profiles)
vdp (deep meridional velocity (cm/s))
svdp (standard deep meridional velocity deviation (cm/s))
nvdp (number of deep meridional velocity profiles)
uvdp (deep velocity magnitude (cm/s))
suvdp (standard deep velocity magnitude deviation (cm/s))
nuvdp (number of deep velocity magnitude profiles)


Argo Products seasonal mean seasonal mean velocity JAS

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
usf (surface zonal velocity (cm/s))
susf (standard surface zonal velocity deviation (cm/s))
nusf (number of surface zonal velocity profiles)
vsf (surface meridional velocity (cm/s))
svsf (standard surface meridional velocity deviation (cm/s))
nvsf (number of surface meridional velocity profiles)
uvsf (surface velocity magnitude (cm/s))
suvsf (standard surface velocity magnitude deviation (cm/s))
nuvsf (number of surface velocity magnitude profiles)
udp (deep zonal velocity (cm/s))
sudp (standard deep zonal velocity deviation (cm/s))
nudp (number of deep zonal velocity profiles)
vdp (deep meridional velocity (cm/s))
svdp (standard deep meridional velocity deviation (cm/s))
nvdp (number of deep meridional velocity profiles)
uvdp (deep velocity magnitude (cm/s))
suvdp (standard deep velocity magnitude deviation (cm/s))
nuvdp (number of deep velocity magnitude profiles)


Argo Products seasonal mean seasonal mean velocity JFM

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
usf (surface zonal velocity (cm/s))
susf (standard surface zonal velocity deviation (cm/s))
nusf (number of surface zonal velocity profiles)
vsf (surface meridional velocity (cm/s))
svsf (standard surface meridional velocity deviation (cm/s))
nvsf (number of surface meridional velocity profiles)
uvsf (surface velocity magnitude (cm/s))
suvsf (standard surface velocity magnitude deviation (cm/s))
nuvsf (number of surface velocity magnitude profiles)
udp (deep zonal velocity (cm/s))
sudp (standard deep zonal velocity deviation (cm/s))
nudp (number of deep zonal velocity profiles)
vdp (deep meridional velocity (cm/s))
svdp (standard deep meridional velocity deviation (cm/s))
nvdp (number of deep meridional velocity profiles)
uvdp (deep velocity magnitude (cm/s))
suvdp (standard deep velocity magnitude deviation (cm/s))
nuvdp (number of deep velocity magnitude profiles)


Argo Products seasonal mean seasonal mean velocity OND

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
usf (surface zonal velocity (cm/s))
susf (standard surface zonal velocity deviation (cm/s))
nusf (number of surface zonal velocity profiles)
vsf (surface meridional velocity (cm/s))
svsf (standard surface meridional velocity deviation (cm/s))
nvsf (number of surface meridional velocity profiles)
uvsf (surface velocity magnitude (cm/s))
suvsf (standard surface velocity magnitude deviation (cm/s))
nuvsf (number of surface velocity magnitude profiles)
udp (deep zonal velocity (cm/s))
sudp (standard deep zonal velocity deviation (cm/s))
nudp (number of deep zonal velocity profiles)
vdp (deep meridional velocity (cm/s))
svdp (standard deep meridional velocity deviation (cm/s))
nvdp (number of deep meridional velocity profiles)
uvdp (deep velocity magnitude (cm/s))
suvdp (standard deep velocity magnitude deviation (cm/s))
nuvdp (number of deep velocity magnitude profiles)


Argo Products seasonal mean seasonal mixed layer AMJ

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (mixed layer depth, m)
smld (standard mixed layer depth deviation, m)
nmld (number of mixed layer depth profiles)
ild (isothermal layer depth, m)
sild (standard isothermal layer depth deviation, m)
nild (number of isothermal layer depth profiles)
ttd (top of the thermocline depth, m)
sttd (standard top of the thermocline depth deviation, m)
nttd (number of top of the thermocline depth profiles)
blt ((>0) barrier or (<0) compensated layer thickness (ttd - mld), m)
sblt (standard barrier or compensated layer thickness deviation, m)
nblt (number of barrier or compensated layer-2 thickness profiles)
tid (temperature inversion depth, m)
stid (standard temperature inversion depth deviation, m)
ntid (number of temperature inversion depth profiles)
mlt (mixed layer temperature, degree_C)
smlt (standard mixed layer temperature deviation, degree_C)
nmlt (number of mixed layer temperature profiles)
mls (mixed layer salinity, PSU)
smls (standard mixed layer salinity deviation, PSU)
nmls (number of mixed layer salinity profiles)


Argo Products seasonal mean seasonal mixed layer JAS

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (mixed layer depth, m)
smld (standard mixed layer depth deviation, m)
nmld (number of mixed layer depth profiles)
ild (isothermal layer depth, m)
sild (standard isothermal layer depth deviation, m)
nild (number of isothermal layer depth profiles)
ttd (top of the thermocline depth, m)
sttd (standard top of the thermocline depth deviation, m)
nttd (number of top of the thermocline depth profiles)
blt ((>0) barrier or (<0) compensated layer thickness (ttd - mld), m)
sblt (standard barrier or compensated layer thickness deviation, m)
nblt (number of barrier or compensated layer-2 thickness profiles)
tid (temperature inversion depth, m)
stid (standard temperature inversion depth deviation, m)
ntid (number of temperature inversion depth profiles)
mlt (mixed layer temperature, degree_C)
smlt (standard mixed layer temperature deviation, degree_C)
nmlt (number of mixed layer temperature profiles)
mls (mixed layer salinity, PSU)
smls (standard mixed layer salinity deviation, PSU)
nmls (number of mixed layer salinity profiles)


Argo Products seasonal mean seasonal mixed layer JFM

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (mixed layer depth, m)
smld (standard mixed layer depth deviation, m)
nmld (number of mixed layer depth profiles)
ild (isothermal layer depth, m)
sild (standard isothermal layer depth deviation, m)
nild (number of isothermal layer depth profiles)
ttd (top of the thermocline depth, m)
sttd (standard top of the thermocline depth deviation, m)
nttd (number of top of the thermocline depth profiles)
blt ((>0) barrier or (<0) compensated layer thickness (ttd - mld), m)
sblt (standard barrier or compensated layer thickness deviation, m)
nblt (number of barrier or compensated layer-2 thickness profiles)
tid (temperature inversion depth, m)
stid (standard temperature inversion depth deviation, m)
ntid (number of temperature inversion depth profiles)
mlt (mixed layer temperature, degree_C)
smlt (standard mixed layer temperature deviation, degree_C)
nmlt (number of mixed layer temperature profiles)
mls (mixed layer salinity, PSU)
smls (standard mixed layer salinity deviation, PSU)
nmls (number of mixed layer salinity profiles)


Argo Products seasonal mean seasonal mixed layer OND

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mld (mixed layer depth, m)
smld (standard mixed layer depth deviation, m)
nmld (number of mixed layer depth profiles)
ild (isothermal layer depth, m)
sild (standard isothermal layer depth deviation, m)
nild (number of isothermal layer depth profiles)
ttd (top of the thermocline depth, m)
sttd (standard top of the thermocline depth deviation, m)
nttd (number of top of the thermocline depth profiles)
blt ((>0) barrier or (<0) compensated layer thickness (ttd - mld), m)
sblt (standard barrier or compensated layer thickness deviation, m)
nblt (number of barrier or compensated layer-2 thickness profiles)
tid (temperature inversion depth, m)
stid (standard temperature inversion depth deviation, m)
ntid (number of temperature inversion depth profiles)
mlt (mixed layer temperature, degree_C)
smlt (standard mixed layer temperature deviation, degree_C)
nmlt (number of mixed layer temperature profiles)
mls (mixed layer salinity, PSU)
smls (standard mixed layer salinity deviation, PSU)
nmls (number of mixed layer salinity profiles)


Argo Products seasonal mean seasonal standard level AMJ

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (temperature, degree_C)
stemp (standard temperature deviation, degree_C)
ntemp (number of temperature profiles)
salt (salinity, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
pden (potential density (kg/m3))
spden (standard potential density deviation (kg/m3))
npden (number of potential density profiles)
spice (spiciness)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
saddep (standard absolute dynamic depth deviation (dyn m))
naddep (number of absolute dynamic depth profiles)


Argo Products seasonal mean seasonal standard level JAS

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (temperature, degree_C)
stemp (standard temperature deviation, degree_C)
ntemp (number of temperature profiles)
salt (salinity, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
pden (potential density (kg/m3))
spden (standard potential density deviation (kg/m3))
npden (number of potential density profiles)
spice (spiciness)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
saddep (standard absolute dynamic depth deviation (dyn m))
naddep (number of absolute dynamic depth profiles)


Argo Products seasonal mean seasonal standard level JFM

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (temperature, degree_C)
stemp (standard temperature deviation, degree_C)
ntemp (number of temperature profiles)
salt (salinity, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
pden (potential density (kg/m3))
spden (standard potential density deviation (kg/m3))
npden (number of potential density profiles)
spice (spiciness)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
saddep (standard absolute dynamic depth deviation (dyn m))
naddep (number of absolute dynamic depth profiles)


Argo Products seasonal mean seasonal standard level OND

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][LEV][latitude][longitude]):
temp (temperature, degree_C)
stemp (standard temperature deviation, degree_C)
ntemp (number of temperature profiles)
salt (salinity, PSU)
ssalt (standard salinity deviation, PSU)
nsalt (number of salinity profiles)
ptemp (potential temperature, degree_C)
sptemp (standard potential temperature deviation, degree_C)
nptemp (number of potential temperature profiles)
pden (potential density (kg/m3))
spden (standard potential density deviation (kg/m3))
npden (number of potential density profiles)
spice (spiciness)
sspice (standard spiciness deviation)
nspice (number of spiciness profiles)
addep (argo-aviso (referred to mdt_cnes-cls09) absolute dynamic depth (dyn m))
saddep (standard absolute dynamic depth deviation (dyn m))
naddep (number of absolute dynamic depth profiles)


bimodal ISO index historical

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mjo (daily reconstructed olr anomalies of the mjo mode)
bsiso (daily reconstructed olr anomalies of the bsiso mode)


bimodal ISO index realtime

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mjo (daily reconstructed olr anomalies of the mjo mode)
bsiso (daily reconstructed olr anomalies of the bsiso mode)


CFSv2 hourly timeseries analysis chi200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpot200mb (** 200 mb velocity potential [m^2/s])


CFSv2 hourly timeseries analysis chi850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpot850mb (** 850 mb velocity potential [m^2/s])


CFSv2 hourly timeseries analysis cprat

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
cprat (** surface convective precipitation rate [kg/m^2/s])


CFSv2 hourly timeseries analysis csdlf

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csdlf (** surface clear sky downward long wave flux [w/m^2])


CFSv2 hourly timeseries analysis csdsf

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csdsf (** surface clear sky downward solar flux [w/m^2])


CFSv2 hourly timeseries analysis dlwsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dlwsfc (** surface downward long-wave rad. flux [w/m^2])


CFSv2 hourly timeseries analysis dswsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dswsfc (** surface downward short-wave radiation flux [w/m^2])


CFSv2 hourly timeseries analysis gflux

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
gflux (surface ground heat flux [w/m^2])


CFSv2 hourly timeseries analysis icecon

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icecon (surface ice cover [proportion])


CFSv2 hourly timeseries analysis icethk

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icethk (surface ice thickness [m])


CFSv2 hourly timeseries analysis ipv450

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pvort450k (** 450 k isentropic level potential vorticity [km2kg-1s-1])


CFSv2 hourly timeseries analysis ipv550

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pvort550k (** 550 k isentropic level potential vorticity [km2kg-1s-1])


CFSv2 hourly timeseries analysis ipv650

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pvort650k (** 650 k isentropic level potential vorticity [km2kg-1s-1])


CFSv2 hourly timeseries analysis lhtfl

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lhtfl (** surface latent heat net flux [w/m^2])


CFSv2 hourly timeseries analysis ocndt10c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt10c (** 10c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries analysis ocndt15c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt15c (** 15c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries analysis ocndt2.5c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt2p5c (** 2.5c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries analysis ocndt20c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt20c (** 20c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries analysis ocndt25c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt25c (** 25c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries analysis ocndt28c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt28c (** 28c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries analysis ocndt5c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt5c (** 5c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries analysis ocnheat

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnheat (** 0-300 m ocean layer ocean heat content [jm-2])


CFSv2 hourly timeseries analysis ocnmld

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnmld (** bottom of ocean mixed layer geometric depth below sea surface [m])


CFSv2 hourly timeseries analysis ocnsal15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsal15 (** 15 m below sea level salinity [kg/kg], PSU)


CFSv2 hourly timeseries analysis ocnsal5

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsal5 (** 5 m below sea level salinity [kg/kg], PSU)


CFSv2 hourly timeseries analysis ocnsild

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsild (** bottom of ocean isothermal layer geometric depth below sea surface [m])


CFSv2 hourly timeseries analysis ocnslh

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnslh (** surface sea surface height relative to geoid [m])


CFSv2 hourly timeseries analysis ocnsst

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsst (** 5 m below sea level potential temperature [k])


CFSv2 hourly timeseries analysis ocnt15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnt15 (** 15 m below sea level potential temperature [k])


CFSv2 hourly timeseries analysis ocntchp

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocntchp (** layer ocean surface and 26c ocean isothermal level tropical cyclone heat potential [jm^-2k])


CFSv2 hourly timeseries analysis ocnu15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnu15 (** 15 m below sea level u-component of current [m/s])


CFSv2 hourly timeseries analysis ocnu5

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnu5 (** 5 m below sea level u-component of current [m/s])


CFSv2 hourly timeseries analysis ocnv15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnv15 (** 15 m below sea level v-component of current [m/s])


CFSv2 hourly timeseries analysis ocnv5

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnv5 (** 5 m below sea level v-component of current [m/s])


CFSv2 hourly timeseries analysis ocnvv55

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnvv55 (** 55 m below sea level vertical velocity (geometric) [m/s])


CFSv2 hourly timeseries analysis prate

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
prate (** surface precipitation rate [kg/m^2/s])


CFSv2 hourly timeseries analysis pressfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pressfc (** surface pressure [pa])


CFSv2 hourly timeseries analysis prmsl

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
prmsl (** mean sea level pressure reduced to msl [pa])


CFSv2 hourly timeseries analysis psi200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
strm200mb (** 200 mb stream function [m^2/s])


CFSv2 hourly timeseries analysis psi850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
strm850mb (** 850 mb stream function [m^2/s])


CFSv2 hourly timeseries analysis pwat

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pwat (entire atmosphere (considered as a single layer) precipitable water [kg/m^2])


CFSv2 hourly timeseries analysis q2m

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
q2m (** 2 m above ground specific humidity [kg/kg])


CFSv2 hourly timeseries analysis q500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh500mb (** 500 mb specific humidity [kg/kg])


CFSv2 hourly timeseries analysis q700

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh700mb (** 700 mb specific humidity [kg/kg])


CFSv2 hourly timeseries analysis q850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh850mb (** 850 mb specific humidity [kg/kg])


CFSv2 hourly timeseries analysis q925

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh925mb (** 925 mb specific humidity [kg/kg])


CFSv2 hourly timeseries analysis shtfl

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shtfl (** surface sensible heat net flux [w/m^2])


CFSv2 hourly timeseries analysis t1000

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp1000mb (** 1000 mb temperature [k])


CFSv2 hourly timeseries analysis t2

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp2mb (** 2 mb temperature [k])


CFSv2 hourly timeseries analysis t200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp200mb (** 200 mb temperature [k])


CFSv2 hourly timeseries analysis t250

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp250mb (** 250 mb temperature [k])


CFSv2 hourly timeseries analysis t50

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp50mb (** 50 mb temperature [k])


CFSv2 hourly timeseries analysis t500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp500mb (** 500 mb temperature [k])


CFSv2 hourly timeseries analysis t700

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp700mb (** 700 mb temperature [k])


CFSv2 hourly timeseries analysis t850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp850mb (** 850 mb temperature [k])


CFSv2 hourly timeseries analysis tcdcclm

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tcdcclm (** entire atmosphere (considered as a single layer) total cloud cover [%])


CFSv2 hourly timeseries analysis tmax

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmax (** 2 m above ground maximum temperature [k])


CFSv2 hourly timeseries analysis tmin

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmin (** 2 m above ground minimum temperature [k])


CFSv2 hourly timeseries analysis tmp2m

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp2m (** 2 m above ground temperature [k])


CFSv2 hourly timeseries analysis tmphy1

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmphy1 (** 1 hybrid level temperature [k])


CFSv2 hourly timeseries analysis tmpsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmpsfc (** surface temperature [k])


CFSv2 hourly timeseries analysis ulwsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ulwsfc (** surface upward long-wave rad. flux [w/m^2])


CFSv2 hourly timeseries analysis ulwtoa

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ulwtoa (** top of atmosphere long-wave rad. flux [w/m^2])


CFSv2 hourly timeseries analysis uswsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uswsfc (** surface upward short-wave radiation flux [w/m^2])


CFSv2 hourly timeseries analysis uswtoa

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uswtoa (** top of atmosphere upward short-wave radiation flux [w/m^2])


CFSv2 hourly timeseries analysis vvel500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vvel500mb (** 500 mb vertical velocity (pressure) [pa/s])


CFSv2 hourly timeseries analysis weasd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
weasd (** surface water equivalent of accumulated snow depth [kg/m^2])


CFSv2 hourly timeseries analysis wnd1000

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd1000mb (** 1000 mb u-component of wind [m/s])
vgrd1000mb (** 1000 mb v-component of wind [m/s])


CFSv2 hourly timeseries analysis wnd10mu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wnd10mu (** 10 m above ground u-component of wind [m/s])


CFSv2 hourly timeseries analysis wnd10mv

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wnd10mv (** 10 m above ground u-component of wind [m/s])


CFSv2 hourly timeseries analysis wnd200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd200mb (** 200 mb u-component of wind [m/s])
vgrd200mb (** 200 mb v-component of wind [m/s])


CFSv2 hourly timeseries analysis wnd250

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd250mb (** 250 mb u-component of wind [m/s])
vgrd250mb (** 250 mb v-component of wind [m/s])


CFSv2 hourly timeseries analysis wnd500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd500mb (** 500 mb u-component of wind [m/s])
vgrd500mb (** 500 mb v-component of wind [m/s])


CFSv2 hourly timeseries analysis wnd700

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd700mb (** 700 mb u-component of wind [m/s])
vgrd700mb (** 700 mb v-component of wind [m/s])


CFSv2 hourly timeseries analysis wnd850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd850mb (** 850 mb u-component of wind [m/s])
vgrd850mb (** 850 mb v-component of wind [m/s])


CFSv2 hourly timeseries analysis wnd925

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd925mb (** 925 mb u-component of wind [m/s])
vgrd925mb (** 925 mb v-component of wind [m/s])


CFSv2 hourly timeseries analysis wndstrsu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wndstrsu (** surface momentum flux, u-component [n/m^2])


CFSv2 hourly timeseries analysis wndstrsv

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wndstrsv (** surface momentum flux, v-component [n/m^2])


CFSv2 hourly timeseries analysis z1000

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt1000mb (** 1000 mb geopotential height [gpm])


CFSv2 hourly timeseries analysis z200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt200mb (** 200 mb geopotential height [gpm])


CFSv2 hourly timeseries analysis z500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt500mb (** 500 mb geopotential height [gpm])


CFSv2 hourly timeseries analysis z700

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt700mb (** 700 mb geopotential height [gpm])


CFSv2 hourly timeseries analysis z850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt850mb (** 850 mb geopotential height [gpm])


CFSv2 hourly timeseries reanalysis and analysis chi200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpot200mb (** 200 mb velocity potential [m^2/s])


CFSv2 hourly timeseries reanalysis and analysis chi850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpot850mb (** 850 mb velocity potential [m^2/s])


CFSv2 hourly timeseries reanalysis and analysis cprat

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
cprat (** surface convective precipitation rate [kg/m^2/s])


CFSv2 hourly timeseries reanalysis and analysis csdlf

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csdlf (** surface clear sky downward long wave flux [w/m^2])


CFSv2 hourly timeseries reanalysis and analysis csdsf

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csdsf (** surface clear sky downward solar flux [w/m^2])


CFSv2 hourly timeseries reanalysis and analysis dlwsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dlwsfc (** surface downward long-wave rad. flux [w/m^2])


CFSv2 hourly timeseries reanalysis and analysis dswsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dswsfc (** surface downward short-wave radiation flux [w/m^2])


CFSv2 hourly timeseries reanalysis and analysis gflux

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
gflux (surface ground heat flux [w/m^2])


CFSv2 hourly timeseries reanalysis and analysis icecon

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icecon (surface ice cover [proportion])


CFSv2 hourly timeseries reanalysis and analysis icethk

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icethk (surface ice thickness [m])


CFSv2 hourly timeseries reanalysis and analysis ipv450

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pvort450k (** 450 k isentropic level potential vorticity [km2kg-1s-1])


CFSv2 hourly timeseries reanalysis and analysis ipv550

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pvort550k (** 550 k isentropic level potential vorticity [km2kg-1s-1])


CFSv2 hourly timeseries reanalysis and analysis ipv650

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pvort650k (** 650 k isentropic level potential vorticity [km2kg-1s-1])


CFSv2 hourly timeseries reanalysis and analysis lhtfl

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lhtfl (** surface latent heat net flux [w/m^2])


CFSv2 hourly timeseries reanalysis and analysis ocndt10c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt10c (** 10c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis and analysis ocndt15c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt15c (** 15c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis and analysis ocndt2.5c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt2p5c (** 2.5c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis and analysis ocndt20c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt20c (** 20c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis and analysis ocndt25c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt25c (** 25c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis and analysis ocndt28c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt28c (** 28c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis and analysis ocndt5c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt5c (** 5c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis and analysis ocnheat

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnheat (** layer between two depths below ocean surface ocean heat content [jm-2])


CFSv2 hourly timeseries reanalysis and analysis ocnmld

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnmld (** bottom of ocean mixed layer geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis and analysis ocnsal15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsal15 (** 15 m below sea level salinity [kg/kg], PSU)


CFSv2 hourly timeseries reanalysis and analysis ocnsal5

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsal5 (** 5 m below sea level salinity [kg/kg], PSU)


CFSv2 hourly timeseries reanalysis and analysis ocnsild

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsild (** bottom of ocean isothermal layer geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis and analysis ocnslh

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnslh (** surface sea surface height relative to geoid [m])


CFSv2 hourly timeseries reanalysis and analysis ocnsst

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsst (** 5 m below sea level potential temperature [k])


CFSv2 hourly timeseries reanalysis and analysis ocnt15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnt15 (** 15 m below sea level potential temperature [k])


CFSv2 hourly timeseries reanalysis and analysis ocntchp

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocntchp (** layer ocean surface and 26c ocean isothermal level tropical cyclone heat potential [jm^-2 k])


CFSv2 hourly timeseries reanalysis and analysis ocnu15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnu15 (** 15 m below sea level u-component of current [m/s])


CFSv2 hourly timeseries reanalysis and analysis ocnu5

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnu5 (** 5 m below sea level u-component of current [m/s])


CFSv2 hourly timeseries reanalysis and analysis ocnv15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnv15 (** 15 m below sea level v-component of current [m/s])


CFSv2 hourly timeseries reanalysis and analysis ocnv5

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnv5 (** 5 m below sea level v-component of current [m/s])


CFSv2 hourly timeseries reanalysis and analysis ocnvv55

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnvv55 (** 55 m below sea level vertical velocity (geometric) [m/s])


CFSv2 hourly timeseries reanalysis and analysis prate

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
prate (** surface precipitation rate [kg/m^2/s])


CFSv2 hourly timeseries reanalysis and analysis pressfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pressfc (** surface pressure [pa])


CFSv2 hourly timeseries reanalysis and analysis prmsl

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
prmsl (** mean sea level pressure reduced to msl [pa])


CFSv2 hourly timeseries reanalysis and analysis psi200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
strm200mb (** 200 mb stream function [m^2/s])


CFSv2 hourly timeseries reanalysis and analysis psi850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
strm850mb (** 850 mb stream function [m^2/s])


CFSv2 hourly timeseries reanalysis and analysis pwat

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pwat (entire atmosphere (considered as a single layer) precipitable water [kg/m^2])


CFSv2 hourly timeseries reanalysis and analysis q2m

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
q2m (** 2 m above ground specific humidity [kg/kg])


CFSv2 hourly timeseries reanalysis and analysis q500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh500mb (** 500 mb specific humidity [kg/kg])


CFSv2 hourly timeseries reanalysis and analysis q700

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh700mb (** 700 mb specific humidity [kg/kg])


CFSv2 hourly timeseries reanalysis and analysis q850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh850mb (** 850 mb specific humidity [kg/kg])


CFSv2 hourly timeseries reanalysis and analysis q925

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh925mb (** 925 mb specific humidity [kg/kg])


CFSv2 hourly timeseries reanalysis and analysis shtfl

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shtfl (** surface sensible heat net flux [w/m^2])


CFSv2 hourly timeseries reanalysis and analysis t1000

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp1000mb (** 1000 mb temperature [k])


CFSv2 hourly timeseries reanalysis and analysis t2

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp2mb (** 2 mb temperature [k])


CFSv2 hourly timeseries reanalysis and analysis t200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp200mb (** 200 mb temperature [k])


CFSv2 hourly timeseries reanalysis and analysis t250

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp250mb (** 250 mb temperature [k])


CFSv2 hourly timeseries reanalysis and analysis t50

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp50mb (** 50 mb temperature [k])


CFSv2 hourly timeseries reanalysis and analysis t500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp500mb (** 500 mb temperature [k])


CFSv2 hourly timeseries reanalysis and analysis t700

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp700mb (** 700 mb temperature [k])


CFSv2 hourly timeseries reanalysis and analysis t850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp850mb (** 850 mb temperature [k])


CFSv2 hourly timeseries reanalysis and analysis tcdcclm

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tcdcclm (** entire atmosphere (considered as a single layer) total cloud cover [%])


CFSv2 hourly timeseries reanalysis and analysis tmax

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmax (** 2 m above ground maximum temperature [k])


CFSv2 hourly timeseries reanalysis and analysis tmin

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmin (** 2 m above ground minimum temperature [k])


CFSv2 hourly timeseries reanalysis and analysis tmp2m

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp2m (** 2 m above ground temperature [k])


CFSv2 hourly timeseries reanalysis and analysis tmphy1

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmphy1 (** 1 hybrid level temperature [k])


CFSv2 hourly timeseries reanalysis and analysis tmpsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmpsfc (** surface temperature [k])


CFSv2 hourly timeseries reanalysis and analysis ulwsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ulwsfc (** surface upward long-wave rad. flux [w/m^2])


CFSv2 hourly timeseries reanalysis and analysis ulwtoa

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ulwtoa (** top of atmosphere long-wave rad. flux [w/m^2])


CFSv2 hourly timeseries reanalysis and analysis uswsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uswsfc (** surface upward short-wave radiation flux [w/m^2])


CFSv2 hourly timeseries reanalysis and analysis uswtoa

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uswtoa (** top of atmosphere upward short-wave radiation flux [w/m^2])


CFSv2 hourly timeseries reanalysis and analysis vvel500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vvel500mb (** 500 mb vertical velocity (pressure) [pa/s])


CFSv2 hourly timeseries reanalysis and analysis weasd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
weasd (** surface water equivalent of accumulated snow depth [kg/m^2])


CFSv2 hourly timeseries reanalysis and analysis wnd1000

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd1000mb (** 1000 mb u-component of wind [m/s])
vgrd1000mb (** 1000 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis and analysis wnd10mu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wnd10mu (** 10 m above ground u-component of wind [m/s])


CFSv2 hourly timeseries reanalysis and analysis wnd10mv

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wnd10mv (** 10 m above ground u-component of wind [m/s])


CFSv2 hourly timeseries reanalysis and analysis wnd200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd200mb (** 200 mb u-component of wind [m/s])
vgrd200mb (** 200 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis and analysis wnd250

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd250mb (** 250 mb u-component of wind [m/s])
vgrd250mb (** 250 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis and analysis wnd500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd500mb (** 500 mb u-component of wind [m/s])
vgrd500mb (** 500 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis and analysis wnd700

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd700mb (** 700 mb u-component of wind [m/s])
vgrd700mb (** 700 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis and analysis wnd850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd850mb (** 850 mb u-component of wind [m/s])
vgrd850mb (** 850 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis and analysis wnd925

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd925mb (** 925 mb u-component of wind [m/s])
vgrd925mb (** 925 mb v-component of wind [m/s)


CFSv2 hourly timeseries reanalysis and analysis wndstrsu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wndstrsu (** surface momentum flux, u-component [n/m^2])


CFSv2 hourly timeseries reanalysis and analysis wndstrsv

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wndstrsv (** surface momentum flux, v-component [n/m^2])


CFSv2 hourly timeseries reanalysis and analysis z1000

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt1000mb (** 1000 mb geopotential height [gpm])


CFSv2 hourly timeseries reanalysis and analysis z200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt200mb (** 200 mb geopotential height [gpm])


CFSv2 hourly timeseries reanalysis and analysis z500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt500mb (** 500 mb geopotential height [gpm])


CFSv2 hourly timeseries reanalysis and analysis z700

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt700mb (** 700 mb geopotential height [gpm])


CFSv2 hourly timeseries reanalysis and analysis z850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt850mb (** 850 mb geopotential height [gpm])


CFSv2 hourly timeseries reanalysis chi200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpot200mb (** 200 mb velocity potential [m^2/s])


CFSv2 hourly timeseries reanalysis chi850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vpot850mb (** 850 mb velocity potential [m^2/s])


CFSv2 hourly timeseries reanalysis cprat

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
cprat (** surface convective precipitation rate [kg/m^2/s])


CFSv2 hourly timeseries reanalysis csdlf

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csdlf (** surface clear sky downward long wave flux [w/m^2])


CFSv2 hourly timeseries reanalysis csdsf

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csdsf (** surface clear sky downward solar flux [w/m^2])


CFSv2 hourly timeseries reanalysis dlwsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dlwsfc (** surface downward long-wave rad. flux [w/m^2])


CFSv2 hourly timeseries reanalysis dswsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dswsfc (** surface downward short-wave radiation flux [w/m^2])


CFSv2 hourly timeseries reanalysis gflux

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
gflux (surface ground heat flux [w/m^2])


CFSv2 hourly timeseries reanalysis icecon

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icecon (surface ice cover [proportion])


CFSv2 hourly timeseries reanalysis icethk

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icethk (surface ice thickness [m])


CFSv2 hourly timeseries reanalysis ipv450

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pvort450k (** 450 k isentropic level potential vorticity [km2kg-1s-1])


CFSv2 hourly timeseries reanalysis ipv550

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pvort550k (** 550 k isentropic level potential vorticity [km2kg-1s-1])


CFSv2 hourly timeseries reanalysis ipv650

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pvort650k (** 650 k isentropic level potential vorticity [km2kg-1s-1])


CFSv2 hourly timeseries reanalysis lhtfl

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lhtfl (** surface latent heat net flux [w/m^2])


CFSv2 hourly timeseries reanalysis ocndt10c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt10c (** 10c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis ocndt15c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt15c (** 15c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis ocndt2.5c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt2p5c (** 2.5c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis ocndt20c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt20c (** 20c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis ocndt25c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt25c (** 25c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis ocndt28c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocn28dtc (** 28c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis ocndt5c

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocndt5c (** 5c ocean isotherm geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis ocnheat

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnheat (** layer between two depths below ocean surface ocean heat content [jm-2])


CFSv2 hourly timeseries reanalysis ocnmld

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnmld (** bottom of ocean mixed layer geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis ocnsal15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsal15 (** 15 m below sea level salinity [kg/kg], PSU)


CFSv2 hourly timeseries reanalysis ocnsal5

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsal5 (** 5 m below sea level salinity [kg/kg], PSU)


CFSv2 hourly timeseries reanalysis ocnsild

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsild (** bottom of ocean isothermal layer geometric depth below sea surface [m])


CFSv2 hourly timeseries reanalysis ocnslh

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnslh (** surface sea surface height relative to geoid [m])


CFSv2 hourly timeseries reanalysis ocnsst

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnsst (** 5 m below sea level potential temperature [k])


CFSv2 hourly timeseries reanalysis ocnt15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnt15 (** 15 m below sea level potential temperature [k])


CFSv2 hourly timeseries reanalysis ocntchp

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocntchp (** layer ocean surface and 26c ocean isothermal level tropical cyclone heat potential [jm^-2k])


CFSv2 hourly timeseries reanalysis ocnu15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnu15 (** 15 m below sea level u-component of current [m/s])


CFSv2 hourly timeseries reanalysis ocnu5

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnu5 (** 5 m below sea level u-component of current [m/s])


CFSv2 hourly timeseries reanalysis ocnv15

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnv15 (** 15 m below sea level v-component of current [m/s])


CFSv2 hourly timeseries reanalysis ocnv5

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnv5 (** 5 m below sea level v-component of current [m/s])


CFSv2 hourly timeseries reanalysis ocnvv55

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ocnvv55 (** 55 m below sea level vertical velocity (geometric) [m/s])


CFSv2 hourly timeseries reanalysis prate

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
prate (** surface precipitation rate [kg/m^2/s])


CFSv2 hourly timeseries reanalysis pressfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pressfc (** surface pressure [pa])


CFSv2 hourly timeseries reanalysis prmsl

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
prmsl (** mean sea level pressure reduced to msl [pa])


CFSv2 hourly timeseries reanalysis psi200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
strm200mb (** 200 mb stream function [m^2/s])


CFSv2 hourly timeseries reanalysis psi850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
strm850mb (** 850 mb stream function [m^2/s])


CFSv2 hourly timeseries reanalysis pwat

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pwat (entire atmosphere (considered as a single layer) precipitable water [kg/m^2])


CFSv2 hourly timeseries reanalysis q2m

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
q2m (** 2 m above ground specific humidity [kg/kg])


CFSv2 hourly timeseries reanalysis q500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh500mb (** 500 mb specific humidity [kg/kg])


CFSv2 hourly timeseries reanalysis q700

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh700mb (** 700 mb specific humidity [kg/kg])


CFSv2 hourly timeseries reanalysis q850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh850mb (** 850 mb specific humidity [kg/kg])


CFSv2 hourly timeseries reanalysis q925

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
spfh925mb (** 925 mb specific humidity [kg/kg])


CFSv2 hourly timeseries reanalysis shtfl

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shtfl (** surface sensible heat net flux [w/m^2])


CFSv2 hourly timeseries reanalysis t1000

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp1000mb (** 1000 mb temperature [k])


CFSv2 hourly timeseries reanalysis t2

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp2mb (** 2 mb temperature [k])


CFSv2 hourly timeseries reanalysis t200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp200mb (** 200 mb temperature [k])


CFSv2 hourly timeseries reanalysis t250

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp250mb (** 250 mb temperature [k])


CFSv2 hourly timeseries reanalysis t50

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp50mb (** 50 mb temperature [k])


CFSv2 hourly timeseries reanalysis t500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp500mb (** 500 mb temperature [k])


CFSv2 hourly timeseries reanalysis t700

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp700mb (** 700 mb temperature [k])


CFSv2 hourly timeseries reanalysis t850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp850mb (** 850 mb temperature [k])


CFSv2 hourly timeseries reanalysis tcdcclm

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tcdcclm (** entire atmosphere (considered as a single layer) total cloud cover [%])


CFSv2 hourly timeseries reanalysis tmax

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmax (** 2 m above ground maximum temperature [k])


CFSv2 hourly timeseries reanalysis tmin

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmin (** 2 m above ground minimum temperature [k])


CFSv2 hourly timeseries reanalysis tmp2m

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp2m (** 2 m above ground temperature [k])


CFSv2 hourly timeseries reanalysis tmphy1

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmphy1 (** 1 hybrid level temperature [k])


CFSv2 hourly timeseries reanalysis tmpsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmpsfc (** surface temperature [k])


CFSv2 hourly timeseries reanalysis ulwsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ulwsfc (** surface upward long-wave rad. flux [w/m^2])


CFSv2 hourly timeseries reanalysis ulwtoa

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ulwtoa (** top of atmosphere long-wave rad. flux [w/m^2])


CFSv2 hourly timeseries reanalysis uswsfc

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uswsfc (** surface upward short-wave radiation flux [w/m^2])


CFSv2 hourly timeseries reanalysis uswtoa

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uswtoa (** top of atmosphere upward short-wave radiation flux [w/m^2])


CFSv2 hourly timeseries reanalysis vvel500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vvel500mb (** 500 mb vertical velocity (pressure) [pa/s])


CFSv2 hourly timeseries reanalysis weasd

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
weasd (** surface water equivalent of accumulated snow depth [kg/m^2])


CFSv2 hourly timeseries reanalysis wnd1000

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd1000mb (** 1000 mb u-component of wind [m/s])
vgrd1000mb (** 1000 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis wnd10mu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wnd10mu (** 10 m above ground u-component of wind [m/s])


CFSv2 hourly timeseries reanalysis wnd10mv

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wnd10mv (** 10 m above ground u-component of wind [m/s])


CFSv2 hourly timeseries reanalysis wnd200

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd200mb (** 200 mb u-component of wind [m/s])
vgrd200mb (** 200 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis wnd250

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd250mb (** 250 mb u-component of wind [m/s])
vgrd250mb (** 250 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis wnd500

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd500mb (** 500 mb u-component of wind [m/s])
vgrd500mb (** 500 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis wnd700

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd700mb (** 700 mb u-component of wind [m/s])
vgrd700mb (** 700 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis wnd850

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd850mb (** 850 mb u-component of wind [m/s])
vgrd850mb (** 850 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis wnd925

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugrd925mb (** 925 mb u-component of wind [m/s])
vgrd925mb (** 925 mb v-component of wind [m/s])


CFSv2 hourly timeseries reanalysis wndstrsu

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wndstrsu (** surface momentum flux, u-component [n/m^2])


CFSv2 hourly timeseries reanalysis wndstrsv

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wndstrsv (** surface momentum flux, v-component [n/m^2])


CFSv2 hourly timeseries reanalysis z1000

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt1000mb (** 1000 mb geopotential height [gpm])